Job Discovery Platform - CyOpsPath
Posted 55 days agoVerified live 1d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
Data EngineeringData ModelingData WarehousingExtract Transform Load (ETL)Data AnalyticsSQLPythonScalaJavaAWSAzureGCPSparkAirflowdbt
About the company
Job Discovery Platform - CyOpsPathcyopspath.com
At CyOpsPath, we’re transforming the way job seekers discover and apply to opportunities — by removing the search and keeping the focus where it belongs: on your career.
Job description
Summary
CyOpsPath is a curated platform that helps job seekers find real, high-priority opportunities before they expire. The Data Engineer role involves building and maintaining data pipelines, designing data structures, and developing ETL workflows to support data-driven decisions.
Responsibilities
- Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines
- Candidates should possess Data Modeling and Data Warehousing skills to design efficient, scalable data structures and storage solutions
- Candidates should possess Extract Transform Load (ETL) skills to develop, optimize, and monitor data ingestion and transformation workflows
- Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate with stakeholders on data-driven decisions
- Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)
- Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data tooling (e.g., Spark, Airflow, dbt) is beneficial
- Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment
Skills
- Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines
- Candidates should possess Data Modeling and Data Warehousing skills to design efficient, scalable data structures and storage solutions
- Candidates should possess Extract Transform Load (ETL) skills to develop, optimize, and monitor data ingestion and transformation workflows
- Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate with stakeholders on data-driven decisions
- Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)
- Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
- Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data tooling (e.g., Spark, Airflow, dbt) is beneficial
Qualifications
Must Haves
- Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines
- Candidates should possess Data Modeling and Data Warehousing skills to design efficient, scalable data structures and storage solutions
- Candidates should possess Extract Transform Load (ETL) skills to develop, optimize, and monitor data ingestion and transformation workflows
- Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate with stakeholders on data-driven decisions
- Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)
- Strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote environment
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
Nice to Haves
- Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP) and modern data tooling (e.g., Spark, Airflow, dbt) is beneficial
